NE Senior Customer AI Engineer - Token Factory Nebius · Remote · US · AI Engineering –ago

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure.

This role sits at the intersection of engineering, delivery, and customer success –ensuring that what was promised during pre-sales actually works reliably in production.

You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments
.

This role is NOT:

• A sales role (though you will support expansion through value)
• A pure support role (you won’t just react to tickets)
• A solution architect role (you won’t design systems from scratch)

You’re welcome to work remotely from the United States
.

Your responsibilities will include:

• Own the production journey
  Lead the transition from PoC to production
  Ensure customer workloads are deployed, stable, and scalable
  Drive time-to-production and time-to-value
• Ensure technical success in production
  Understand customer architectures and use cases
  Monitor and improve:
  o performance (latency, throughput)
  o cost efficiency
  o reliability
  Identify and resolve bottlenecks proactively
• Act as a trusted technical partner
  Work directly with customer engineering teams
  Provide guidance on best practices and optimisation
  Translate technical challenges into actionable solutions
• Manage risks and incidents
  Act as a primary technical contact for production issues
  Coordinate with internal teams to resolve incidents
  Communicate clearly during high-pressure situations
• Drive continuous improvement
  Identify opportunities to optimise and expand usage
  Provide structured feedback to Product and Infrastructure teams
  Help shape better solutions based on real customer needs

We expect you to have:

Technical background

• Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar)
• Solid understanding of:

- cloud or infrastructure systems
- distributed systems or high-load applications
- AI/ML workloads (LLMs, inference, etc.) is a strong plus

• Ability to troubleshoot and reason about system performance

Customer-facing experience

• Experience working directly with technical customers (e.g. engineers, ML teams)
• Ability to communicate complex topics clearly and effectively

Ownership & execution

• Strong sense of ownership – you drive outcomes, not just tasks
• Ability to manage multiple customers and priorities
• Structured, proactive, and solution-oriented mindset

It will be an added bonus if you have:

• Experience with GPU workloads or AI infrastructure
• Background in solutions engineering, SRE, or technical support in B2
  
  Benvironments

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan:
  Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement:
  Up to $85/month for mobile and…